Disease sorting coding method and system based on deep learning, equipment and medium

A technology of deep learning and disease classification, which is applied in the field of disease classification coding based on deep learning, can solve problems such as inability to complete coding work accurately, and achieve the effect of improving accuracy

Active Publication Date: 2019-11-22
SHAN DONG MSUN HEALTH TECH GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the disease diagnosis name filled in by the doctor on the medical record does not meet the standards of the ICD system only through the disease diagnosis name written by the doctor, the coding work cannot be completed accurately only through the disease diagnosis name filled in by the doctor

Method used

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  • Disease sorting coding method and system based on deep learning, equipment and medium
  • Disease sorting coding method and system based on deep learning, equipment and medium
  • Disease sorting coding method and system based on deep learning, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Embodiment 1. This embodiment provides a disease classification and coding method based on deep learning;

[0032] Such as figure 1 As shown, the disease classification coding method based on deep learning includes:

[0033] S1: Build an ICD code knowledge base, the ICD code knowledge base includes: ICD standard disease diagnosis names and corresponding ICD standard disease codes;

[0034] S2: Obtain the discharge record of the patient to be classified and coded, obtain the disease diagnosis name from the patient discharge record, and determine whether the current disease diagnosis name is the ICD standard disease diagnosis name in the ICD code knowledge base, and if so, directly output the corresponding ICD standard disease code;

[0035] If not, for the current disease diagnosis name, extract the most similar t ICD standard disease diagnosis names from all ICD standard disease diagnosis names; enter the classification step;

[0036] S3: Classification step: find the ICD standa...

Embodiment 2

[0102] In the second embodiment, this embodiment also provides a disease classification and coding system based on deep learning;

[0103] Disease classification and coding system based on deep learning, including:

[0104] The knowledge base building module is configured to construct an ICD code knowledge base, and the ICD code knowledge base includes: ICD standard disease diagnosis names and corresponding ICD standard disease codes;

[0105] The obtaining module is configured to obtain the discharge record of the patient whose disease classification code is to be performed, obtain the disease diagnosis name from the patient discharge record, and determine whether the current disease diagnosis name is the ICD standard disease diagnosis name in the ICD code knowledge base, and if so, then Directly output the corresponding ICD standard disease code;

[0106] If not, for the current disease diagnosis name, extract the most similar t ICD standard disease diagnosis names from all ICD stan...

Embodiment 3

[0110] The third embodiment, this embodiment also provides an electronic device, including a memory and a processor, and computer instructions stored in the memory and running on the processor. When the computer instructions are executed by the processor, the computer instructions in the first embodiment are completed. The steps of the method.

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Abstract

The invention discloses a disease sorting coding method and system based on deep learning, equipment and a medium. The method comprises the steps of constructing an ICD coding knowledge base; obtaining patient discharge records to be subjected to disease sorting coding, obtaining the disease diagnosis name from the patient discharge records, and judging whether the current disease diagnosis name is an ICD standard disease diagnosis name in the ICD coding knowledge base or not; if not, extracting t most similar ICD standard disease diagnosis names from all ICD standard disease diagnosis names for the current disease diagnosis name; performing sorting, wherein the ICD standard disease diagnosis name corresponding to the maximum probability is found from the t ICD standard disease diagnosis names to be output; according to the ICD standard disease diagnosis names output by a model M, searching the ICD coding knowledge base for the corresponding ICD standard disease code as the final coding result to be output.

Description

Technical field [0001] The present disclosure relates to the technical field of disease classification and coding, in particular to a disease classification and coding method, system, device and medium based on deep learning. Background technique [0002] The statements in this section merely mention background technologies related to the present disclosure, and do not necessarily constitute prior art. [0003] The International Disease Coding System (ICD) is a system that categorizes diseases according to the rules according to the characteristics of the diseases, and expresses them by coding methods. With the application of the Diagnosis-related Classification System (DRGS) in the field of medical insurance, the requirements for the standardization of the information on the front page of the medical record are becoming more and more urgent. Therefore, how to quickly and accurately fill in the ICD code of the diagnosed disease in the first page of the medical record has become mor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G16H50/20G06N3/08
CPCG16H10/60G16H50/20G06N3/08
Inventor 孙钊吴军桑波冯德杰刘小梅李福友
Owner SHAN DONG MSUN HEALTH TECH GRP CO LTD
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